Natalie Lorent

3.7k citations
65 papers · 1.1k · h-index 18

Impact in

Papers in

Natalie Lorent

58 papers receiving 1.1k citations

Peers

Natalie Lorent
Comparison fields: 5 of 97
  • Infectious Diseases 410
  • Pulmonary and Respiratory Medicine 312
  • Neurology 82
  • Critical Care and Intensive Care Medicine 25
  • Epidemiology 170
Replace Roberto Gabbiadini with:
Roberto Gabbiadini Italy
Frankie Wai Tsoi Cheng Hong Kong
Lisa M. Barton United States
Pek Yoon Chong Singapore
Alfredo Tagarro Spain
Line Heylen Belgium
Joon-Sung Joh South Korea
Jennifer Ho United States
Sik-To Lai Hong Kong
Dehan Liu China
Natalie Lorent relative to Roberto Gabbiadini Italy Roberto Gabbiadini's profile →
Citations per field
00.5×1.5×2×2.3×
Roberto Gabbiadini · 1×
Citations per year

Countries citing papers authored by Natalie Lorent

Since Specialization
Citations

This map shows the geographic impact of Natalie Lorent's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Natalie Lorent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalie Lorent more than expected).

Fields of papers citing papers by Natalie Lorent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie Lorent. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Natalie Lorent. The network helps show where Natalie Lorent may publish in the future.

Co-authors

The 25 scholars most cited alongside Natalie Lorent, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Natalie Lorent Line = papers co-authored together Natalie Lorent links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004181
2 202194
3 200493
4 201489
5 202254
6 201146
7 201543
8 201742
9 202039
10 201936
11 202135
12 202034
13
Risk factors for delay in the diagnosis and treatment of tuberculosis at a referral hospital in Rwanda.
200831
14 202029
15 201725
16 201724
17 201819
18 202118
19 201317
20 201515

About Natalie Lorent

Natalie Lorent is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Neurology, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (13 papers), Cystic Fibrosis Research Advances (12 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Long-Term Effects of COVID-19 (6 papers), Neonatal Respiratory Health Research (6 papers), Transplantation: Methods and Outcomes (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Infectious Diseases (410 citations), Pulmonary and Respiratory Medicine (312 citations), Neurology (82 citations), Critical Care and Intensive Care Medicine (25 citations) and Epidemiology (170 citations). Natalie Lorent has collaborated with scholars based in Belgium, United Kingdom and Germany. Frequent co-authors include Christophe Dooms, Johan Vansteenkiste, Kimcheng Choun, Lutgarde Lynen, Sopheak Thai, Emmanuel André, Katrien Lagrou, Yannick Vande Weygaerde, Lieven Dupont and Johan van Griensven. Their work appears in journals such as PLoS ONE, The International Journal of Tuberculosis and Lung Disease, BMC Infectious Diseases, European Respiratory Journal and Journal of Clinical Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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